2 papers
eess.IV2024
Improving ovarian cancer segmentation accuracy with transformers through AI-guided labeling
Aneesh Rangnekar, Kevin M. Boehm, Emily A. Aherne +8
Transformer models have demonstrated the capability to produce highly accurate segmentation of organs and tumors. However, model training requires high-quality curated datasets to…
eess.IV2020
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study
Elena A. Kaye, Emily A. Aherne, Cihan Duzgol +8
Purpose: To investigate feasibility of accelerating prostate diffusion-weighted imaging (DWI) by reducing the number of acquired averages and denoising the resulting image using a…